A5056645279- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Gaze Tracking and Assistive Technology
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Energy Harvesting in Wireless Networks
- Underwater Vehicles and Communication Systems
- Tactile and Sensory Interactions
- Indoor and Outdoor Localization Technologies
- Advanced Memory and Neural Computing
- Energy Efficient Wireless Sensor Networks
- Teleoperation and Haptic Systems
- Sleep and Wakefulness Research
- Neural Networks and Applications
- Reinforcement Learning in Robotics
Brown University
2018-2025
Providence VA Medical Center
2023-2024
Allen Institute for Brain Science
2018-2023
Rehabilitation Research and Development Service
2022
Neurotech (United States)
2022
John Brown University
2019-2022
Providence College
2018
University of Oklahoma
2010-2011
Individuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord stroke may become tetraplegic, unable to speak even locked-in. For people these conditions, current assistive technologies are often ineffective. Brain-computer interfaces being developed enhance independence and restore communication in the absence of physical movement. Over past decade, individuals tetraplegia have achieved rapid on-screen typing point-and-click control tablet apps using...
Competing Financial Interests: Dr. Hochberg has a financial interest in Synchron Med, Inc., company developing minimally invasive implantable brain device that could help paralyzed patients achieve direct control of assisted technologies.Dr.
Consolidation of memory is believed to involve offline replay neural activity. While amply demonstrated in rodents, evidence for humans, particularly regarding motor memory, less compelling. To determine whether occurs after learning, we sought record from cortex during a novel task and subsequent overnight sleep. A 36-year-old man with tetraplegia secondary cervical spinal cord injury enrolled the ongoing BrainGate brain–computer interface pilot clinical trial had two 96-channel...
Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders have enabled individuals with paralysis to control a cursor for continuous point-and-click typing on virtual keyboard, browsing the internet, and familiar tablet apps. However, further advances are needed deliver iBCI-enabled approaching able-bodied performance. Motivated by recent evidence that nonlinear recurrent neural networks (RNNs) can provide higher performance iBCI in nonhuman primates (NHPs), we evaluated...
Abstract Objective. Intracortical brain-computer interfaces (iBCIs) have demonstrated the ability to enable point and click as well reach grasp control for people with tetraplegia. However, few studies investigated iBCIs during long-duration discrete movements that would common computer interactions such ”click-and-hold” or ”drag-and-drop”. Approach. Here, we examined performance of multi-class binary (attempt/no-attempt) classification neural activity in left precentral gyrus two BrainGate2...
Summary Understanding how the body is represented in motor cortex key to understanding brain controls movement. The precentral gyrus (PCG) has long been thought contain largely distinct regions for arm, leg and face (represented by “motor homunculus”). However, mounting evidence begun reveal a more intermixed, interrelated broadly tuned map. Here, we revisit homunculus using microelectrode array recordings from 20 arrays that sample PCG across 8 individuals, creating comprehensive map of...
Intracortical brain-computer interfaces (iBCIs) enable high performance cursor control for people with tetraplegia by inferring motor intentions from neural recordings. However, current methods rely on frequent decoder recalibrations to reduce fluctuations attributable instability in Towards clinical translation, iBCIs must sustain over long periods of time minimal interruptions the user. Recent non-human primate (NHP) studies indicate that recurrent network (RNN) decoders are more robust...
Abstract Intracortical brain-computer interfaces (iBCIs) allow people with paralysis to directly control assistive devices using neural activity associated the intent move. Realizing full potential of iBCIs critically depends on continued progress in understanding how different cortical areas contribute movement control. Here we present first comparison between neuronal ensemble recordings from left middle frontal gyrus (MFG) and precentral (PCG) a person tetraplegia an iBCI. As expected,...
Traditional radio frequency communication schemes are not capable of transmitting signals through metal enclosures. However, in some applications it is necessary to transmit information to/from devices located inside enclosures, e.g., a closed shipping container transit. A conformal ultrasonic system based on multi-tone FSK (MFSK) has been developed and evaluated using steel corner posts from containers as the medium. The configurable, consisting two or more modules. module mounted surface...
Some applications require wireless transmission of information to and from devices located inside metal enclosures, e.g., a closed shipping container in transit. However, traditional radio frequency (RF) communication schemes are not capable transmitting signals through enclosures. As an alternative RF, ultrasonic system based on multitone frequency-shift keying (MFSK) has been developed evaluated using the steel corner posts containers as medium. Empirical studies have performed channel....
Abstract Individuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord stroke may become tetraplegic, unable to speak even locked-in. For people these conditions, current assistive technologies are often ineffective. Brain-computer interfaces being developed enhance independence and restore communication in the absence of physical movement. Over past decade, individuals tetraplegia have achieved rapid on-screen typing point-and-click control tablet apps...
Abstract Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive cursor control from movement intentions. To translate practical use, iBCIs should provide reliable performance for extended periods of time. However, begins degrade as the relationship between kinematic intention and recorded neural activity shifts compared when decoder was initially trained. In addition developing decoders better handle long-term instability, identifying recalibrate...
Objective. Intracortical brain-computer interfaces (iBCIs) have demonstrated the ability to enable point and click as well reach grasp control for people with tetraplegia. However, few studies investigated iBCIs during long duration discrete movements that would common computer interactions such "click-and-hold" or "drag-and-drop". Approach. Here, we examined performance of multi-class binary (attempt/no-attempt) classification neural activity in left precentral gyrus two BrainGate2 clinical...
Understanding the cortical activity patterns driving dexterous upper limb motion has potential to benefit a broad clinical population living with limited mobility through development of novel brain-computer interface (BCI) technology. The present study examines ensembles motor neurons recorded using microelectrode arrays in dominant hemisphere two BrainGate trial participants cervical spinal cord injury as they attempted perform set 48 different hand gestures. Although each participant...
Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders have enabled individuals with paralysis to control a cursor for continuous point-and-click typing on virtual keyboard, browsing the internet, and familiar tablet apps. However, further advances are needed deliver iBCI-enabled approaching able-bodied performance. Motivated by recent evidence that nonlinear recurrent neural networks (RNNs) can provide higher performance iBCI in nonhuman primates (NHPs), we evaluated...